Bijender Kumar
Impact in
- Hematology top 5%
- Acute Myeloid Leukemia Research
- Hematopoietic Stem Cell Transplantation
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
- Hematology 23
- Acute Myeloid Leukemia Research 12
- Hematopoietic Stem Cell Transplantation 8
- Genetics 10
- Mesenchymal stem cell research 5
- Co-authors
- Mayra García (6 shared papers)Jodi L. Murakami (5 shared papers)Ching‐Cheng Chen (10 shared papers)Guido Marcucci (8 shared papers)Xingbin Hu (5 shared papers)Vinod A. Pullarkat (5 shared papers)Lihong Weng (5 shared papers)Xiaoman Jung (3 shared papers)
- Journals
- Blood (6 papers)Journal of Cellular Physiology (2 papers)Leukemia (2 papers)International Journal of Radiation Oncology*Biology*Physics (2 papers)Frontiers in Immunology (2 papers)
- Partner nations
- United StatesIndiaChina
In The Last Decade
Bijender Kumar
40 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 77
- Hematology 349
- Cancer Research 292
- Genetics 163
- Immunology 257
- Molecular Biology 573
Countries citing papers authored by Bijender Kumar
This map shows the geographic impact of Bijender Kumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Bijender Kumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bijender Kumar more than expected).
Fields of papers citing papers by Bijender Kumar
This network shows the impact of papers produced by Bijender Kumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Bijender Kumar. The network helps show where Bijender Kumar may publish in the future.
Co-authors
The 25 scholars most cited alongside Bijender Kumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 357 | |
| 2 | 2018 | 124 | |
| 3 | 2015 | 101 | |
| 4 | 2015 | 67 | |
| 5 | 2019 | 66 | |
| 6 | 2016 | 56 | |
| 7 | 2024 | 45 | |
| 8 | 1981 | 34 | |
| 9 | 2025 | 29 | |
| 10 | 2017 | 24 | |
| 11 | 2025 | 22 | |
| 12 | 2021 | 21 | |
| 13 | 2024 | 21 | |
| 14 | 2009 | 21 | |
| 15 | 2013 | 18 | |
| 16 | 2020 | 18 | |
| 17 | 2024 | 15 | |
| 18 | 2019 | 15 | |
| 19 | 2009 | 13 | |
| 20 | 2007 | 12 |
About Bijender Kumar
Bijender Kumar is a scholar working on Hematology, Genetics, Immunology, Oncology and Molecular Biology, having authored 41 papers that have together received 1.2k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (12 papers), Hematopoietic Stem Cell Transplantation (8 papers), Immune Cell Function and Interaction (8 papers), CAR-T cell therapy research (6 papers), Acute Lymphoblastic Leukemia research (6 papers), T-cell and B-cell Immunology (5 papers), Extracellular vesicles in disease (5 papers) and Mesenchymal stem cell research (5 papers). The work is most often cited by research in Hematology (349 citations), Cancer Research (292 citations), Genetics (163 citations), Immunology (257 citations) and Molecular Biology (573 citations). Bijender Kumar has collaborated with scholars based in United States, India and China. Frequent co-authors include Mayra García, Jodi L. Murakami, Ching‐Cheng Chen, Guido Marcucci, Xingbin Hu, Vinod A. Pullarkat, Lihong Weng, Xiaoman Jung, Susanta Kumar Hui and Anthony Selwyn Stein. Their work appears in journals such as Blood, Journal of Cellular Physiology, Leukemia, International Journal of Radiation Oncology*Biology*Physics and Frontiers in Immunology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.